diff --git a/README.md b/README.md index 64a4dbfbf..99c4ece3e 100644 --- a/README.md +++ b/README.md @@ -1,30 +1,20 @@ -

- - ollama +

+  + ollama -

+
# Ollama -Start building with open models. - -## Download +Get up and running with large language models. ### macOS -```shell -curl -fsSL https://ollama.com/install.sh | sh -``` - -or [download manually](http://localhost:8080/download/Ollama.dmg) +[Download](https://ollama.com/download/Ollama.dmg) ### Windows -```shell -irm https://ollama.com/install.ps1 | iex -``` - -or [download manually](https://ollama.com/download/OllamaSetup.exe) +[Download](https://ollama.com/download/OllamaSetup.exe) ### Linux @@ -46,311 +36,649 @@ The official [Ollama Docker image](https://hub.docker.com/r/ollama/ollama) `olla ### Community - [Discord](https://discord.gg/ollama) -- [𝕏 (Twitter)](https://x.com/ollama) - [Reddit](https://reddit.com/r/ollama) -## Get started +## Quickstart -``` -ollama -``` +To run and chat with [Gemma 3](https://ollama.com/library/gemma3): -You'll be prompted to run a model or connect Ollama to your existing agents or applications such as `claude`, `codex`, `openclaw` and more. - -### Coding - -To launch a specific integration: - -``` -ollama launch claude -``` - -Supported integrations include [Claude Code](https://docs.ollama.com/integrations/claude-code), [Codex](https://docs.ollama.com/integrations/codex), [Droid](https://docs.ollama.com/integrations/droid), and [OpenCode](https://docs.ollama.com/integrations/opencode). - -### AI assistant - -Use [OpenClaw](https://docs.ollama.com/integrations/openclaw) to turn Ollama into a personal AI assistant across WhatsApp, Telegram, Slack, Discord, and more: - -``` -ollama launch openclaw -``` - -### Chat with a model - -Run and chat with [Gemma 3](https://ollama.com/library/gemma3): - -``` +```shell ollama run gemma3 ``` -See [ollama.com/library](https://ollama.com/library) for the full list. +## Model library -See the [quickstart guide](https://docs.ollama.com/quickstart) for more details. +Ollama supports a list of models available on [ollama.com/library](https://ollama.com/library "ollama model library") + +Here are some example models that can be downloaded: + +| Model | Parameters | Size | Download | +| ------------------ | ---------- | ----- | -------------------------------- | +| Gemma 3 | 1B | 815MB | `ollama run gemma3:1b` | +| Gemma 3 | 4B | 3.3GB | `ollama run gemma3` | +| Gemma 3 | 12B | 8.1GB | `ollama run gemma3:12b` | +| Gemma 3 | 27B | 17GB | `ollama run gemma3:27b` | +| QwQ | 32B | 20GB | `ollama run qwq` | +| DeepSeek-R1 | 7B | 4.7GB | `ollama run deepseek-r1` | +| DeepSeek-R1 | 671B | 404GB | `ollama run deepseek-r1:671b` | +| Llama 4 | 109B | 67GB | `ollama run llama4:scout` | +| Llama 4 | 400B | 245GB | `ollama run llama4:maverick` | +| Llama 3.3 | 70B | 43GB | `ollama run llama3.3` | +| Llama 3.2 | 3B | 2.0GB | `ollama run llama3.2` | +| Llama 3.2 | 1B | 1.3GB | `ollama run llama3.2:1b` | +| Llama 3.2 Vision | 11B | 7.9GB | `ollama run llama3.2-vision` | +| Llama 3.2 Vision | 90B | 55GB | `ollama run llama3.2-vision:90b` | +| Llama 3.1 | 8B | 4.7GB | `ollama run llama3.1` | +| Llama 3.1 | 405B | 231GB | `ollama run llama3.1:405b` | +| Phi 4 | 14B | 9.1GB | `ollama run phi4` | +| Phi 4 Mini | 3.8B | 2.5GB | `ollama run phi4-mini` | +| Mistral | 7B | 4.1GB | `ollama run mistral` | +| Moondream 2 | 1.4B | 829MB | `ollama run moondream` | +| Neural Chat | 7B | 4.1GB | `ollama run neural-chat` | +| Starling | 7B | 4.1GB | `ollama run starling-lm` | +| Code Llama | 7B | 3.8GB | `ollama run codellama` | +| Llama 2 Uncensored | 7B | 3.8GB | `ollama run llama2-uncensored` | +| LLaVA | 7B | 4.5GB | `ollama run llava` | +| Granite-3.3 | 8B | 4.9GB | `ollama run granite3.3` | + +> [!NOTE] +> You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models. + +## Customize a model + +### Import from GGUF + +Ollama supports importing GGUF models in the Modelfile: + +1. Create a file named `Modelfile`, with a `FROM` instruction with the local filepath to the model you want to import. + + ``` + FROM ./vicuna-33b.Q4_0.gguf + ``` + +2. Create the model in Ollama + + ```shell + ollama create example -f Modelfile + ``` + +3. Run the model + + ```shell + ollama run example + ``` + +### Import from Safetensors + +See the [guide](https://docs.ollama.com/import) on importing models for more information. + +### Customize a prompt + +Models from the Ollama library can be customized with a prompt. For example, to customize the `llama3.2` model: + +```shell +ollama pull llama3.2 +``` + +Create a `Modelfile`: + +``` +FROM llama3.2 + +# set the temperature to 1 [higher is more creative, lower is more coherent] +PARAMETER temperature 1 + +# set the system message +SYSTEM """ +You are Mario from Super Mario Bros. Answer as Mario, the assistant, only. +""" +``` + +Next, create and run the model: + +``` +ollama create mario -f ./Modelfile +ollama run mario +>>> hi +Hello! It's your friend Mario. +``` + +For more information on working with a Modelfile, see the [Modelfile](https://docs.ollama.com/modelfile) documentation. + +## CLI Reference + +### Create a model + +`ollama create` is used to create a model from a Modelfile. + +```shell +ollama create mymodel -f ./Modelfile +``` + +### Pull a model + +```shell +ollama pull llama3.2 +``` + +> This command can also be used to update a local model. Only the diff will be pulled. + +### Remove a model + +```shell +ollama rm llama3.2 +``` + +### Copy a model + +```shell +ollama cp llama3.2 my-model +``` + +### Multiline input + +For multiline input, you can wrap text with `"""`: + +``` +>>> """Hello, +... world! +... """ +I'm a basic program that prints the famous "Hello, world!" message to the console. +``` + +### Multimodal models + +``` +ollama run llava "What's in this image? /Users/jmorgan/Desktop/smile.png" +``` + +> **Output**: The image features a yellow smiley face, which is likely the central focus of the picture. + +### Pass the prompt as an argument + +```shell +ollama run llama3.2 "Summarize this file: $(cat README.md)" +``` + +> **Output**: Ollama is a lightweight, extensible framework for building and running language models on the local machine. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications. + +### Show model information + +```shell +ollama show llama3.2 +``` + +### List models on your computer + +```shell +ollama list +``` + +### List which models are currently loaded + +```shell +ollama ps +``` + +### Stop a model which is currently running + +```shell +ollama stop llama3.2 +``` + +### Generate embeddings from the CLI + +```shell +ollama run embeddinggemma "Your text to embed" +``` + +You can also pipe text for scripted workflows: + +```shell +echo "Your text to embed" | ollama run embeddinggemma +``` + +### Start Ollama + +`ollama serve` is used when you want to start ollama without running the desktop application. + +## Building + +See the [developer guide](https://github.com/ollama/ollama/blob/main/docs/development.md) + +### Running local builds + +Next, start the server: + +```shell +./ollama serve +``` + +Finally, in a separate shell, run a model: + +```shell +./ollama run llama3.2 +``` + +## Building with MLX (experimental) + +First build the MLX libraries: + +```shell +cmake --preset MLX +cmake --build --preset MLX --parallel +cmake --install build --component MLX +``` + +When building with the `-tags mlx` flag, the main `ollama` binary includes MLX support for experimental features like image generation: + +```shell +go build -tags mlx . +``` + +Finally, start the server: + +``` +./ollama serve +``` + +### Building MLX with CUDA + +When building with CUDA, use the preset "MLX CUDA 13" or "MLX CUDA 12" to enable CUDA with default architectures: + +```shell +cmake --preset 'MLX CUDA 13' +cmake --build --preset 'MLX CUDA 13' --parallel +cmake --install build --component MLX +``` ## REST API Ollama has a REST API for running and managing models. -``` -curl http://localhost:11434/api/chat -d '{ - "model": "gemma3", - "messages": [{ - "role": "user", - "content": "Why is the sky blue?" - }], - "stream": false +### Generate a response + +```shell +curl http://localhost:11434/api/generate -d '{ + "model": "llama3.2", + "prompt":"Why is the sky blue?" }' ``` -See the [API documentation](https://docs.ollama.com/api) for all endpoints. +### Chat with a model -### Python - -``` -pip install ollama +```shell +curl http://localhost:11434/api/chat -d '{ + "model": "llama3.2", + "messages": [ + { "role": "user", "content": "why is the sky blue?" } + ] +}' ``` -```python -from ollama import chat - -response = chat(model='gemma3', messages=[ - { - 'role': 'user', - 'content': 'Why is the sky blue?', - }, -]) -print(response.message.content) -``` - -### JavaScript - -``` -npm i ollama -``` - -```javascript -import ollama from "ollama"; - -const response = await ollama.chat({ - model: "gemma3", - messages: [{ role: "user", content: "Why is the sky blue?" }], -}); -console.log(response.message.content); -``` - -## Supported backends - -- [llama.cpp](https://github.com/ggml-org/llama.cpp) project founded by Georgi Gerganov. - -## Documentation - -- [CLI reference](https://docs.ollama.com/cli) -- [REST API reference](https://docs.ollama.com/api) -- [Importing models](https://docs.ollama.com/import) -- [Modelfile reference](https://docs.ollama.com/modelfile) -- [Building from source](https://github.com/ollama/ollama/blob/main/docs/development.md) +See the [API documentation](./docs/api.md) for all endpoints. ## Community Integrations -> Want to add your project? Open a pull request. +### Web & Desktop -### Chat Interfaces +- [Onyx](https://github.com/onyx-dot-app/onyx) +- [Open WebUI](https://github.com/open-webui/open-webui) +- [SwiftChat (macOS with ReactNative)](https://github.com/aws-samples/swift-chat) +- [Enchanted (macOS native)](https://github.com/AugustDev/enchanted) +- [Hollama](https://github.com/fmaclen/hollama) +- [Lollms WebUI (Single user)](https://github.com/ParisNeo/lollms-webui) +- [Lollms (Multi users)](https://github.com/ParisNeo/lollms) +- [LibreChat](https://github.com/danny-avila/LibreChat) +- [Bionic GPT](https://github.com/bionic-gpt/bionic-gpt) +- [HTML UI](https://github.com/rtcfirefly/ollama-ui) +- [AI-UI](https://github.com/bajahaw/ai-ui) +- [Saddle](https://github.com/jikkuatwork/saddle) +- [TagSpaces](https://www.tagspaces.org) (A platform for file-based apps, [utilizing Ollama](https://docs.tagspaces.org/ai/) for the generation of tags and descriptions) +- [Chatbot UI](https://github.com/ivanfioravanti/chatbot-ollama) +- [Chatbot UI v2](https://github.com/mckaywrigley/chatbot-ui) +- [Typescript UI](https://github.com/ollama-interface/Ollama-Gui?tab=readme-ov-file) +- [Minimalistic React UI for Ollama Models](https://github.com/richawo/minimal-llm-ui) +- [Ollamac](https://github.com/kevinhermawan/Ollamac) +- [big-AGI](https://github.com/enricoros/big-AGI) +- [Cheshire Cat assistant framework](https://github.com/cheshire-cat-ai/core) +- [Amica](https://github.com/semperai/amica) +- [chatd](https://github.com/BruceMacD/chatd) +- [Ollama-SwiftUI](https://github.com/kghandour/Ollama-SwiftUI) +- [Dify.AI](https://github.com/langgenius/dify) +- [MindMac](https://mindmac.app) +- [NextJS Web Interface for Ollama](https://github.com/jakobhoeg/nextjs-ollama-llm-ui) +- [Msty](https://msty.app) +- [Chatbox](https://github.com/Bin-Huang/Chatbox) +- [WinForm Ollama Copilot](https://github.com/tgraupmann/WinForm_Ollama_Copilot) +- [NextChat](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) with [Get Started Doc](https://docs.nextchat.dev/models/ollama) +- [Alpaca WebUI](https://github.com/mmo80/alpaca-webui) +- [OllamaGUI](https://github.com/enoch1118/ollamaGUI) +- [OpenAOE](https://github.com/InternLM/OpenAOE) +- [Odin Runes](https://github.com/leonid20000/OdinRunes) +- [LLM-X](https://github.com/mrdjohnson/llm-x) (Progressive Web App) +- [AnythingLLM (Docker + MacOs/Windows/Linux native app)](https://github.com/Mintplex-Labs/anything-llm) +- [Screenpipe](https://github.com/mediar-ai/screenpipe) (24/7 screen & mic recording with AI-powered search, uses Ollama for local LLM features) +- [Ollama Basic Chat: Uses HyperDiv Reactive UI](https://github.com/rapidarchitect/ollama_basic_chat) +- [Ollama-chats RPG](https://github.com/drazdra/ollama-chats) +- [IntelliBar](https://intellibar.app/) (AI-powered assistant for macOS) +- [Jirapt](https://github.com/AliAhmedNada/jirapt) (Jira Integration to generate issues, tasks, epics) +- [ojira](https://github.com/AliAhmedNada/ojira) (Jira chrome plugin to easily generate descriptions for tasks) +- [QA-Pilot](https://github.com/reid41/QA-Pilot) (Interactive chat tool that can leverage Ollama models for rapid understanding and navigation of GitHub code repositories) +- [ChatOllama](https://github.com/sugarforever/chat-ollama) (Open Source Chatbot based on Ollama with Knowledge Bases) +- [CRAG Ollama Chat](https://github.com/Nagi-ovo/CRAG-Ollama-Chat) (Simple Web Search with Corrective RAG) +- [RAGFlow](https://github.com/infiniflow/ragflow) (Open-source Retrieval-Augmented Generation engine based on deep document understanding) +- [StreamDeploy](https://github.com/StreamDeploy-DevRel/streamdeploy-llm-app-scaffold) (LLM Application Scaffold) +- [chat](https://github.com/swuecho/chat) (chat web app for teams) +- [Lobe Chat](https://github.com/lobehub/lobe-chat) with [Integrating Doc](https://lobehub.com/docs/self-hosting/examples/ollama) +- [Ollama RAG Chatbot](https://github.com/datvodinh/rag-chatbot.git) (Local Chat with multiple PDFs using Ollama and RAG) +- [BrainSoup](https://www.nurgo-software.com/products/brainsoup) (Flexible native client with RAG & multi-agent automation) +- [macai](https://github.com/Renset/macai) (macOS client for Ollama, ChatGPT, and other compatible API back-ends) +- [RWKV-Runner](https://github.com/josStorer/RWKV-Runner) (RWKV offline LLM deployment tool, also usable as a client for ChatGPT and Ollama) +- [Ollama Grid Search](https://github.com/dezoito/ollama-grid-search) (app to evaluate and compare models) +- [Olpaka](https://github.com/Otacon/olpaka) (User-friendly Flutter Web App for Ollama) +- [Casibase](https://casibase.org) (An open source AI knowledge base and dialogue system combining the latest RAG, SSO, ollama support, and multiple large language models.) +- [OllamaSpring](https://github.com/CrazyNeil/OllamaSpring) (Ollama Client for macOS) +- [LLocal.in](https://github.com/kartikm7/llocal) (Easy to use Electron Desktop Client for Ollama) +- [Shinkai Desktop](https://github.com/dcSpark/shinkai-apps) (Two click install Local AI using Ollama + Files + RAG) +- [AiLama](https://github.com/zeyoyt/ailama) (A Discord User App that allows you to interact with Ollama anywhere in Discord) +- [Ollama with Google Mesop](https://github.com/rapidarchitect/ollama_mesop/) (Mesop Chat Client implementation with Ollama) +- [R2R](https://github.com/SciPhi-AI/R2R) (Open-source RAG engine) +- [Ollama-Kis](https://github.com/elearningshow/ollama-kis) (A simple easy-to-use GUI with sample custom LLM for Drivers Education) +- [OpenGPA](https://opengpa.org) (Open-source offline-first Enterprise Agentic Application) +- [Painting Droid](https://github.com/mateuszmigas/painting-droid) (Painting app with AI integrations) +- [Kerlig AI](https://www.kerlig.com/) (AI writing assistant for macOS) +- [AI Studio](https://github.com/MindWorkAI/AI-Studio) +- [Sidellama](https://github.com/gyopak/sidellama) (browser-based LLM client) +- [LLMStack](https://github.com/trypromptly/LLMStack) (No-code multi-agent framework to build LLM agents and workflows) +- [BoltAI for Mac](https://boltai.com) (AI Chat Client for Mac) +- [Harbor](https://github.com/av/harbor) (Containerized LLM Toolkit with Ollama as default backend) +- [PyGPT](https://github.com/szczyglis-dev/py-gpt) (AI desktop assistant for Linux, Windows, and Mac) +- [Alpaca](https://github.com/Jeffser/Alpaca) (An Ollama client application for Linux and macOS made with GTK4 and Adwaita) +- [AutoGPT](https://github.com/Significant-Gravitas/AutoGPT/blob/master/docs/content/platform/ollama.md) (AutoGPT Ollama integration) +- [Go-CREW](https://www.jonathanhecl.com/go-crew/) (Powerful Offline RAG in Golang) +- [PartCAD](https://github.com/openvmp/partcad/) (CAD model generation with OpenSCAD and CadQuery) +- [Ollama4j Web UI](https://github.com/ollama4j/ollama4j-web-ui) - Java-based Web UI for Ollama built with Vaadin, Spring Boot, and Ollama4j +- [PyOllaMx](https://github.com/kspviswa/pyOllaMx) - macOS application capable of chatting with both Ollama and Apple MLX models. +- [Cline](https://github.com/cline/cline) - Formerly known as Claude Dev is a VS Code extension for multi-file/whole-repo coding +- [Void](https://github.com/voideditor/void) (Open source AI code editor and Cursor alternative) +- [Cherry Studio](https://github.com/kangfenmao/cherry-studio) (Desktop client with Ollama support) +- [ConfiChat](https://github.com/1runeberg/confichat) (Lightweight, standalone, multi-platform, and privacy-focused LLM chat interface with optional encryption) +- [Archyve](https://github.com/nickthecook/archyve) (RAG-enabling document library) +- [crewAI with Mesop](https://github.com/rapidarchitect/ollama-crew-mesop) (Mesop Web Interface to run crewAI with Ollama) +- [Tkinter-based client](https://github.com/chyok/ollama-gui) (Python tkinter-based Client for Ollama) +- [LLMChat](https://github.com/trendy-design/llmchat) (Privacy focused, 100% local, intuitive all-in-one chat interface) +- [Local Multimodal AI Chat](https://github.com/Leon-Sander/Local-Multimodal-AI-Chat) (Ollama-based LLM Chat with support for multiple features, including PDF RAG, voice chat, image-based interactions, and integration with OpenAI.) +- [ARGO](https://github.com/xark-argo/argo) (Locally download and run Ollama and Huggingface models with RAG and deep research on Mac/Windows/Linux) +- [OrionChat](https://github.com/EliasPereirah/OrionChat) - OrionChat is a web interface for chatting with different AI providers +- [G1](https://github.com/bklieger-groq/g1) (Prototype of using prompting strategies to improve the LLM's reasoning through o1-like reasoning chains.) +- [Web management](https://github.com/lemonit-eric-mao/ollama-web-management) (Web management page) +- [Promptery](https://github.com/promptery/promptery) (desktop client for Ollama.) +- [Ollama App](https://github.com/JHubi1/ollama-app) (Modern and easy-to-use multi-platform client for Ollama) +- [chat-ollama](https://github.com/annilq/chat-ollama) (a React Native client for Ollama) +- [SpaceLlama](https://github.com/tcsenpai/spacellama) (Firefox and Chrome extension to quickly summarize web pages with ollama in a sidebar) +- [YouLama](https://github.com/tcsenpai/youlama) (Webapp to quickly summarize any YouTube video, supporting Invidious as well) +- [DualMind](https://github.com/tcsenpai/dualmind) (Experimental app allowing two models to talk to each other in the terminal or in a web interface) +- [ollamarama-matrix](https://github.com/h1ddenpr0cess20/ollamarama-matrix) (Ollama chatbot for the Matrix chat protocol) +- [ollama-chat-app](https://github.com/anan1213095357/ollama-chat-app) (Flutter-based chat app) +- [Perfect Memory AI](https://www.perfectmemory.ai/) (Productivity AI assists personalized by what you have seen on your screen, heard, and said in the meetings) +- [Hexabot](https://github.com/hexastack/hexabot) (A conversational AI builder) +- [Reddit Rate](https://github.com/rapidarchitect/reddit_analyzer) (Search and Rate Reddit topics with a weighted summation) +- [OpenTalkGpt](https://github.com/adarshM84/OpenTalkGpt) (Chrome Extension to manage open-source models supported by Ollama, create custom models, and chat with models from a user-friendly UI) +- [VT](https://github.com/vinhnx/vt.ai) (A minimal multimodal AI chat app, with dynamic conversation routing. Supports local models via Ollama) +- [Nosia](https://github.com/nosia-ai/nosia) (Easy to install and use RAG platform based on Ollama) +- [Witsy](https://github.com/nbonamy/witsy) (An AI Desktop application available for Mac/Windows/Linux) +- [Abbey](https://github.com/US-Artificial-Intelligence/abbey) (A configurable AI interface server with notebooks, document storage, and YouTube support) +- [Minima](https://github.com/dmayboroda/minima) (RAG with on-premises or fully local workflow) +- [aidful-ollama-model-delete](https://github.com/AidfulAI/aidful-ollama-model-delete) (User interface for simplified model cleanup) +- [Perplexica](https://github.com/ItzCrazyKns/Perplexica) (An AI-powered search engine & an open-source alternative to Perplexity AI) +- [Ollama Chat WebUI for Docker ](https://github.com/oslook/ollama-webui) (Support for local docker deployment, lightweight ollama webui) +- [AI Toolkit for Visual Studio Code](https://aka.ms/ai-tooklit/ollama-docs) (Microsoft-official VS Code extension to chat, test, evaluate models with Ollama support, and use them in your AI applications.) +- [MinimalNextOllamaChat](https://github.com/anilkay/MinimalNextOllamaChat) (Minimal Web UI for Chat and Model Control) +- [Chipper](https://github.com/TilmanGriesel/chipper) AI interface for tinkerers (Ollama, Haystack RAG, Python) +- [ChibiChat](https://github.com/CosmicEventHorizon/ChibiChat) (Kotlin-based Android app to chat with Ollama and Koboldcpp API endpoints) +- [LocalLLM](https://github.com/qusaismael/localllm) (Minimal Web-App to run ollama models on it with a GUI) +- [Ollamazing](https://github.com/buiducnhat/ollamazing) (Web extension to run Ollama models) +- [OpenDeepResearcher-via-searxng](https://github.com/benhaotang/OpenDeepResearcher-via-searxng) (A Deep Research equivalent endpoint with Ollama support for running locally) +- [AntSK](https://github.com/AIDotNet/AntSK) (Out-of-the-box & Adaptable RAG Chatbot) +- [MaxKB](https://github.com/1Panel-dev/MaxKB/) (Ready-to-use & flexible RAG Chatbot) +- [yla](https://github.com/danielekp/yla) (Web interface to freely interact with your customized models) +- [LangBot](https://github.com/RockChinQ/LangBot) (LLM-based instant messaging bots platform, with Agents, RAG features, supports multiple platforms) +- [1Panel](https://github.com/1Panel-dev/1Panel/) (Web-based Linux Server Management Tool) +- [AstrBot](https://github.com/Soulter/AstrBot/) (User-friendly LLM-based multi-platform chatbot with a WebUI, supporting RAG, LLM agents, and plugins integration) +- [Reins](https://github.com/ibrahimcetin/reins) (Easily tweak parameters, customize system prompts per chat, and enhance your AI experiments with reasoning model support.) +- [Flufy](https://github.com/Aharon-Bensadoun/Flufy) (A beautiful chat interface for interacting with Ollama's API. Built with React, TypeScript, and Material-UI.) +- [Ellama](https://github.com/zeozeozeo/ellama) (Friendly native app to chat with an Ollama instance) +- [screenpipe](https://github.com/mediar-ai/screenpipe) Build agents powered by your screen history +- [Ollamb](https://github.com/hengkysteen/ollamb) (Simple yet rich in features, cross-platform built with Flutter and designed for Ollama. Try the [web demo](https://hengkysteen.github.io/demo/ollamb/).) +- [Writeopia](https://github.com/Writeopia/Writeopia) (Text editor with integration with Ollama) +- [AppFlowy](https://github.com/AppFlowy-IO/AppFlowy) (AI collaborative workspace with Ollama, cross-platform and self-hostable) +- [Lumina](https://github.com/cushydigit/lumina.git) (A lightweight, minimal React.js frontend for interacting with Ollama servers) +- [Tiny Notepad](https://pypi.org/project/tiny-notepad) (A lightweight, notepad-like interface to chat with ollama available on PyPI) +- [macLlama (macOS native)](https://github.com/hellotunamayo/macLlama) (A native macOS GUI application for interacting with Ollama models, featuring a chat interface.) +- [GPTranslate](https://github.com/philberndt/GPTranslate) (A fast and lightweight, AI powered desktop translation application written with Rust and Tauri. Features real-time translation with OpenAI/Azure/Ollama.) +- [ollama launcher](https://github.com/NGC13009/ollama-launcher) (A launcher for Ollama, aiming to provide users with convenient functions such as ollama server launching, management, or configuration.) +- [ai-hub](https://github.com/Aj-Seven/ai-hub) (AI Hub supports multiple models via API keys and Chat support via Ollama API.) +- [Mayan EDMS](https://gitlab.com/mayan-edms/mayan-edms) (Open source document management system to organize, tag, search, and automate your files with powerful Ollama driven workflows.) +- [Serene Pub](https://github.com/doolijb/serene-pub) (Beginner friendly, open source AI Roleplaying App for Windows, Mac OS and Linux. Search, download and use models with Ollama all inside the app.) +- [Andes](https://github.com/aqerd/andes) (A Visual Studio Code extension that provides a local UI interface for Ollama models) +- [KDeps](https://github.com/kdeps/kdeps) (Kdeps is an offline-first AI framework for building Dockerized full-stack AI applications declaratively using Apple PKL and integrates APIs with Ollama on the backend.) +- [Clueless](https://github.com/KashyapTan/clueless) (Open Source & Local Cluely: A desktop application LLM assistant to help you talk to anything on your screen using locally served Ollama models. Also undetectable to screenshare) +- [ollama-co2](https://github.com/carbonatedWaterOrg/ollama-co2) (FastAPI web interface for monitoring and managing local and remote Ollama servers with real-time model monitoring and concurrent downloads) +- [Hillnote](https://hillnote.com) (A Markdown-first workspace designed to supercharge your AI workflow. Create documents ready to integrate with Claude, ChatGPT, Gemini, Cursor, and more - all while keeping your work on your device.) +- [Stakpak](https://github.com/stakpak/agent) (An open source, vendor neutral DevOps agent that works with any model, and any stack, for teams who just want to ship) -#### Web - -- [Open WebUI](https://github.com/open-webui/open-webui) - Extensible, self-hosted AI interface -- [Onyx](https://github.com/onyx-dot-app/onyx) - Connected AI workspace -- [LibreChat](https://github.com/danny-avila/LibreChat) - Enhanced ChatGPT clone with multi-provider support -- [Lobe Chat](https://github.com/lobehub/lobe-chat) - Modern chat framework with plugin ecosystem ([docs](https://lobehub.com/docs/self-hosting/examples/ollama)) -- [NextChat](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) - Cross-platform ChatGPT UI ([docs](https://docs.nextchat.dev/models/ollama)) -- [Perplexica](https://github.com/ItzCrazyKns/Perplexica) - AI-powered search engine, open-source Perplexity alternative -- [big-AGI](https://github.com/enricoros/big-AGI) - AI suite for professionals -- [Lollms WebUI](https://github.com/ParisNeo/lollms-webui) - Multi-model web interface -- [ChatOllama](https://github.com/sugarforever/chat-ollama) - Chatbot with knowledge bases -- [Bionic GPT](https://github.com/bionic-gpt/bionic-gpt) - On-premise AI platform -- [Chatbot UI](https://github.com/ivanfioravanti/chatbot-ollama) - ChatGPT-style web interface -- [Hollama](https://github.com/fmaclen/hollama) - Minimal web interface -- [Chatbox](https://github.com/Bin-Huang/Chatbox) - Desktop and web AI client -- [chat](https://github.com/swuecho/chat) - Chat web app for teams -- [Ollama RAG Chatbot](https://github.com/datvodinh/rag-chatbot.git) - Chat with multiple PDFs using RAG -- [Tkinter-based client](https://github.com/chyok/ollama-gui) - Python desktop client - -#### Desktop - -- [Dify.AI](https://github.com/langgenius/dify) - LLM app development platform -- [AnythingLLM](https://github.com/Mintplex-Labs/anything-llm) - All-in-one AI app for Mac, Windows, and Linux -- [Maid](https://github.com/Mobile-Artificial-Intelligence/maid) - Cross-platform mobile and desktop client -- [Witsy](https://github.com/nbonamy/witsy) - AI desktop app for Mac, Windows, and Linux -- [Cherry Studio](https://github.com/kangfenmao/cherry-studio) - Multi-provider desktop client -- [Ollama App](https://github.com/JHubi1/ollama-app) - Multi-platform client for desktop and mobile -- [PyGPT](https://github.com/szczyglis-dev/py-gpt) - AI desktop assistant for Linux, Windows, and Mac -- [Alpaca](https://github.com/Jeffser/Alpaca) - GTK4 client for Linux and macOS -- [SwiftChat](https://github.com/aws-samples/swift-chat) - Cross-platform including iOS, Android, and Apple Vision Pro -- [Enchanted](https://github.com/AugustDev/enchanted) - Native macOS and iOS client -- [RWKV-Runner](https://github.com/josStorer/RWKV-Runner) - Multi-model desktop runner -- [Ollama Grid Search](https://github.com/dezoito/ollama-grid-search) - Evaluate and compare models -- [macai](https://github.com/Renset/macai) - macOS client for Ollama and ChatGPT -- [AI Studio](https://github.com/MindWorkAI/AI-Studio) - Multi-provider desktop IDE -- [Reins](https://github.com/ibrahimcetin/reins) - Parameter tuning and reasoning model support -- [ConfiChat](https://github.com/1runeberg/confichat) - Privacy-focused with optional encryption -- [LLocal.in](https://github.com/kartikm7/llocal) - Electron desktop client -- [MindMac](https://mindmac.app) - AI chat client for Mac -- [Msty](https://msty.app) - Multi-model desktop client -- [BoltAI for Mac](https://boltai.com) - AI chat client for Mac -- [IntelliBar](https://intellibar.app/) - AI-powered assistant for macOS -- [Kerlig AI](https://www.kerlig.com/) - AI writing assistant for macOS -- [Hillnote](https://hillnote.com) - Markdown-first AI workspace -- [Perfect Memory AI](https://www.perfectmemory.ai/) - Productivity AI personalized by screen and meeting history - -#### Mobile - -- [Ollama Android Chat](https://github.com/sunshine0523/OllamaServer) - One-click Ollama on Android - -> SwiftChat, Enchanted, Maid, Ollama App, Reins, and ConfiChat listed above also support mobile platforms. - -### Code Editors & Development - -- [Cline](https://github.com/cline/cline) - VS Code extension for multi-file/whole-repo coding -- [Continue](https://github.com/continuedev/continue) - Open-source AI code assistant for any IDE -- [Void](https://github.com/voideditor/void) - Open source AI code editor, Cursor alternative -- [Copilot for Obsidian](https://github.com/logancyang/obsidian-copilot) - AI assistant for Obsidian -- [twinny](https://github.com/rjmacarthy/twinny) - Copilot and Copilot chat alternative -- [gptel Emacs client](https://github.com/karthink/gptel) - LLM client for Emacs -- [Ollama Copilot](https://github.com/bernardo-bruning/ollama-copilot) - Use Ollama as GitHub Copilot -- [Obsidian Local GPT](https://github.com/pfrankov/obsidian-local-gpt) - Local AI for Obsidian -- [Ellama Emacs client](https://github.com/s-kostyaev/ellama) - LLM tool for Emacs -- [orbiton](https://github.com/xyproto/orbiton) - Config-free text editor with Ollama tab completion -- [AI ST Completion](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) - Sublime Text 4 AI assistant -- [VT Code](https://github.com/vinhnx/vtcode) - Rust-based terminal coding agent with Tree-sitter -- [QodeAssist](https://github.com/Palm1r/QodeAssist) - AI coding assistant for Qt Creator -- [AI Toolkit for VS Code](https://aka.ms/ai-tooklit/ollama-docs) - Microsoft-official VS Code extension -- [Open Interpreter](https://docs.openinterpreter.com/language-model-setup/local-models/ollama) - Natural language interface for computers - -### Libraries & SDKs - -- [LiteLLM](https://github.com/BerriAI/litellm) - Unified API for 100+ LLM providers -- [Semantic Kernel](https://github.com/microsoft/semantic-kernel/tree/main/python/semantic_kernel/connectors/ai/ollama) - Microsoft AI orchestration SDK -- [LangChain4j](https://github.com/langchain4j/langchain4j) - Java LangChain ([example](https://github.com/langchain4j/langchain4j-examples/tree/main/ollama-examples/src/main/java)) -- [LangChainGo](https://github.com/tmc/langchaingo/) - Go LangChain ([example](https://github.com/tmc/langchaingo/tree/main/examples/ollama-completion-example)) -- [Spring AI](https://github.com/spring-projects/spring-ai) - Spring framework AI support ([docs](https://docs.spring.io/spring-ai/reference/api/chat/ollama-chat.html)) -- [LangChain](https://python.langchain.com/docs/integrations/chat/ollama/) and [LangChain.js](https://js.langchain.com/docs/integrations/chat/ollama/) with [example](https://js.langchain.com/docs/tutorials/local_rag/) -- [Ollama for Ruby](https://github.com/crmne/ruby_llm) - Ruby LLM library -- [any-llm](https://github.com/mozilla-ai/any-llm) - Unified LLM interface by Mozilla -- [OllamaSharp for .NET](https://github.com/awaescher/OllamaSharp) - .NET SDK -- [LangChainRust](https://github.com/Abraxas-365/langchain-rust) - Rust LangChain ([example](https://github.com/Abraxas-365/langchain-rust/blob/main/examples/llm_ollama.rs)) -- [Agents-Flex for Java](https://github.com/agents-flex/agents-flex) - Java agent framework ([example](https://github.com/agents-flex/agents-flex/tree/main/agents-flex-llm/agents-flex-llm-ollama/src/test/java/com/agentsflex/llm/ollama)) -- [Elixir LangChain](https://github.com/brainlid/langchain) - Elixir LangChain -- [Ollama-rs for Rust](https://github.com/pepperoni21/ollama-rs) - Rust SDK -- [LangChain for .NET](https://github.com/tryAGI/LangChain) - .NET LangChain ([example](https://github.com/tryAGI/LangChain/blob/main/examples/LangChain.Samples.OpenAI/Program.cs)) -- [chromem-go](https://github.com/philippgille/chromem-go) - Go vector database with Ollama embeddings ([example](https://github.com/philippgille/chromem-go/tree/v0.5.0/examples/rag-wikipedia-ollama)) -- [LangChainDart](https://github.com/davidmigloz/langchain_dart) - Dart LangChain -- [LlmTornado](https://github.com/lofcz/llmtornado) - Unified C# interface for multiple inference APIs -- [Ollama4j for Java](https://github.com/ollama4j/ollama4j) - Java SDK -- [Ollama for Laravel](https://github.com/cloudstudio/ollama-laravel) - Laravel integration -- [Ollama for Swift](https://github.com/mattt/ollama-swift) - Swift SDK -- [LlamaIndex](https://docs.llamaindex.ai/en/stable/examples/llm/ollama/) and [LlamaIndexTS](https://ts.llamaindex.ai/modules/llms/available_llms/ollama) - Data framework for LLM apps -- [Haystack](https://github.com/deepset-ai/haystack-integrations/blob/main/integrations/ollama.md) - AI pipeline framework -- [Firebase Genkit](https://firebase.google.com/docs/genkit/plugins/ollama) - Google AI framework -- [Ollama-hpp for C++](https://github.com/jmont-dev/ollama-hpp) - C++ SDK -- [PromptingTools.jl](https://github.com/svilupp/PromptingTools.jl) - Julia LLM toolkit ([example](https://svilupp.github.io/PromptingTools.jl/dev/examples/working_with_ollama)) -- [Ollama for R - rollama](https://github.com/JBGruber/rollama) - R SDK -- [Portkey](https://portkey.ai/docs/welcome/integration-guides/ollama) - AI gateway -- [Testcontainers](https://testcontainers.com/modules/ollama/) - Container-based testing -- [LLPhant](https://github.com/theodo-group/LLPhant?tab=readme-ov-file#ollama) - PHP AI framework - -### Frameworks & Agents - -- [AutoGPT](https://github.com/Significant-Gravitas/AutoGPT/blob/master/docs/content/platform/ollama.md) - Autonomous AI agent platform -- [crewAI](https://github.com/crewAIInc/crewAI) - Multi-agent orchestration framework -- [Strands Agents](https://github.com/strands-agents/sdk-python) - Model-driven agent building by AWS -- [Cheshire Cat](https://github.com/cheshire-cat-ai/core) - AI assistant framework -- [any-agent](https://github.com/mozilla-ai/any-agent) - Unified agent framework interface by Mozilla -- [Stakpak](https://github.com/stakpak/agent) - Open source DevOps agent -- [Hexabot](https://github.com/hexastack/hexabot) - Conversational AI builder -- [Neuro SAN](https://github.com/cognizant-ai-lab/neuro-san-studio) - Multi-agent orchestration ([docs](https://github.com/cognizant-ai-lab/neuro-san-studio/blob/main/docs/user_guide.md#ollama)) - -### RAG & Knowledge Bases - -- [RAGFlow](https://github.com/infiniflow/ragflow) - RAG engine based on deep document understanding -- [R2R](https://github.com/SciPhi-AI/R2R) - Open-source RAG engine -- [MaxKB](https://github.com/1Panel-dev/MaxKB/) - Ready-to-use RAG chatbot -- [Minima](https://github.com/dmayboroda/minima) - On-premises or fully local RAG -- [Chipper](https://github.com/TilmanGriesel/chipper) - AI interface with Haystack RAG -- [ARGO](https://github.com/xark-argo/argo) - RAG and deep research on Mac/Windows/Linux -- [Archyve](https://github.com/nickthecook/archyve) - RAG-enabling document library -- [Casibase](https://casibase.org) - AI knowledge base with RAG and SSO -- [BrainSoup](https://www.nurgo-software.com/products/brainsoup) - Native client with RAG and multi-agent automation - -### Bots & Messaging - -- [LangBot](https://github.com/RockChinQ/LangBot) - Multi-platform messaging bots with agents and RAG -- [AstrBot](https://github.com/Soulter/AstrBot/) - Multi-platform chatbot with RAG and plugins -- [Discord-Ollama Chat Bot](https://github.com/kevinthedang/discord-ollama) - TypeScript Discord bot -- [Ollama Telegram Bot](https://github.com/ruecat/ollama-telegram) - Telegram bot -- [LLM Telegram Bot](https://github.com/innightwolfsleep/llm_telegram_bot) - Telegram bot for roleplay - -### Terminal & CLI - -- [aichat](https://github.com/sigoden/aichat) - All-in-one LLM CLI with Shell Assistant, RAG, and AI tools -- [oterm](https://github.com/ggozad/oterm) - Terminal client for Ollama -- [gollama](https://github.com/sammcj/gollama) - Go-based model manager for Ollama -- [tlm](https://github.com/yusufcanb/tlm) - Local shell copilot -- [tenere](https://github.com/pythops/tenere) - TUI for LLMs -- [ParLlama](https://github.com/paulrobello/parllama) - TUI for Ollama -- [llm-ollama](https://github.com/taketwo/llm-ollama) - Plugin for [Datasette's LLM CLI](https://llm.datasette.io/en/stable/) -- [ShellOracle](https://github.com/djcopley/ShellOracle) - Shell command suggestions -- [LLM-X](https://github.com/mrdjohnson/llm-x) - Progressive web app for LLMs -- [cmdh](https://github.com/pgibler/cmdh) - Natural language to shell commands -- [VT](https://github.com/vinhnx/vt.ai) - Minimal multimodal AI chat app - -### Productivity & Apps - -- [AppFlowy](https://github.com/AppFlowy-IO/AppFlowy) - AI collaborative workspace, self-hostable Notion alternative -- [Screenpipe](https://github.com/mediar-ai/screenpipe) - 24/7 screen and mic recording with AI-powered search -- [Vibe](https://github.com/thewh1teagle/vibe) - Transcribe and analyze meetings -- [Page Assist](https://github.com/n4ze3m/page-assist) - Chrome extension for AI-powered browsing -- [NativeMind](https://github.com/NativeMindBrowser/NativeMindExtension) - Private, on-device browser AI assistant -- [Ollama Fortress](https://github.com/ParisNeo/ollama_proxy_server) - Security proxy for Ollama -- [1Panel](https://github.com/1Panel-dev/1Panel/) - Web-based Linux server management -- [Writeopia](https://github.com/Writeopia/Writeopia) - Text editor with Ollama integration -- [QA-Pilot](https://github.com/reid41/QA-Pilot) - GitHub code repository understanding -- [Raycast extension](https://github.com/MassimilianoPasquini97/raycast_ollama) - Ollama in Raycast -- [Painting Droid](https://github.com/mateuszmigas/painting-droid) - Painting app with AI integrations -- [Serene Pub](https://github.com/doolijb/serene-pub) - AI roleplaying app -- [Mayan EDMS](https://gitlab.com/mayan-edms/mayan-edms) - Document management with Ollama workflows -- [TagSpaces](https://www.tagspaces.org) - File management with [AI tagging](https://docs.tagspaces.org/ai/) - -### Observability & Monitoring - -- [Opik](https://www.comet.com/docs/opik/cookbook/ollama) - Debug, evaluate, and monitor LLM applications -- [OpenLIT](https://github.com/openlit/openlit) - OpenTelemetry-native monitoring for Ollama and GPUs -- [Lunary](https://lunary.ai/docs/integrations/ollama) - LLM observability with analytics and PII masking -- [Langfuse](https://langfuse.com/docs/integrations/ollama) - Open source LLM observability -- [HoneyHive](https://docs.honeyhive.ai/integrations/ollama) - AI observability and evaluation for agents -- [MLflow Tracing](https://mlflow.org/docs/latest/llms/tracing/index.html#automatic-tracing) - Open source LLM observability - -### Database & Embeddings - -- [pgai](https://github.com/timescale/pgai) - PostgreSQL as a vector database ([guide](https://github.com/timescale/pgai/blob/main/docs/vectorizer-quick-start.md)) -- [MindsDB](https://github.com/mindsdb/mindsdb/blob/staging/mindsdb/integrations/handlers/ollama_handler/README.md) - Connect Ollama with 200+ data platforms -- [chromem-go](https://github.com/philippgille/chromem-go/blob/v0.5.0/embed_ollama.go) - Embeddable vector database for Go ([example](https://github.com/philippgille/chromem-go/tree/v0.5.0/examples/rag-wikipedia-ollama)) -- [Kangaroo](https://github.com/dbkangaroo/kangaroo) - AI-powered SQL client - -### Infrastructure & Deployment - -#### Cloud +### Cloud - [Google Cloud](https://cloud.google.com/run/docs/tutorials/gpu-gemma2-with-ollama) - [Fly.io](https://fly.io/docs/python/do-more/add-ollama/) - [Koyeb](https://www.koyeb.com/deploy/ollama) -- [Harbor](https://github.com/av/harbor) - Containerized LLM toolkit with Ollama as default backend -#### Package Managers +### Tutorial + +- [handy-ollama](https://github.com/datawhalechina/handy-ollama) (Chinese Tutorial for Ollama by [Datawhale ](https://github.com/datawhalechina) - China's Largest Open Source AI Learning Community) + +### Terminal + +- [oterm](https://github.com/ggozad/oterm) +- [Ellama Emacs client](https://github.com/s-kostyaev/ellama) +- [Emacs client](https://github.com/zweifisch/ollama) +- [neollama](https://github.com/paradoxical-dev/neollama) UI client for interacting with models from within Neovim +- [gen.nvim](https://github.com/David-Kunz/gen.nvim) +- [ollama.nvim](https://github.com/nomnivore/ollama.nvim) +- [ollero.nvim](https://github.com/marco-souza/ollero.nvim) +- [ollama-chat.nvim](https://github.com/gerazov/ollama-chat.nvim) +- [ogpt.nvim](https://github.com/huynle/ogpt.nvim) +- [gptel Emacs client](https://github.com/karthink/gptel) +- [Oatmeal](https://github.com/dustinblackman/oatmeal) +- [cmdh](https://github.com/pgibler/cmdh) +- [ooo](https://github.com/npahlfer/ooo) +- [shell-pilot](https://github.com/reid41/shell-pilot)(Interact with models via pure shell scripts on Linux or macOS) +- [tenere](https://github.com/pythops/tenere) +- [llm-ollama](https://github.com/taketwo/llm-ollama) for [Datasette's LLM CLI](https://llm.datasette.io/en/stable/). +- [typechat-cli](https://github.com/anaisbetts/typechat-cli) +- [ShellOracle](https://github.com/djcopley/ShellOracle) +- [tlm](https://github.com/yusufcanb/tlm) +- [podman-ollama](https://github.com/ericcurtin/podman-ollama) +- [gollama](https://github.com/sammcj/gollama) +- [ParLlama](https://github.com/paulrobello/parllama) +- [Ollama eBook Summary](https://github.com/cognitivetech/ollama-ebook-summary/) +- [Ollama Mixture of Experts (MOE) in 50 lines of code](https://github.com/rapidarchitect/ollama_moe) +- [vim-intelligence-bridge](https://github.com/pepo-ec/vim-intelligence-bridge) Simple interaction of "Ollama" with the Vim editor +- [x-cmd ollama](https://x-cmd.com/mod/ollama) +- [bb7](https://github.com/drunkwcodes/bb7) +- [SwollamaCLI](https://github.com/marcusziade/Swollama) bundled with the Swollama Swift package. [Demo](https://github.com/marcusziade/Swollama?tab=readme-ov-file#cli-usage) +- [aichat](https://github.com/sigoden/aichat) All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI tools & agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more. +- [PowershAI](https://github.com/rrg92/powershai) PowerShell module that brings AI to terminal on Windows, including support for Ollama +- [DeepShell](https://github.com/Abyss-c0re/deepshell) Your self-hosted AI assistant. Interactive Shell, Files and Folders analysis. +- [orbiton](https://github.com/xyproto/orbiton) Configuration-free text editor and IDE with support for tab completion with Ollama. +- [orca-cli](https://github.com/molbal/orca-cli) Ollama Registry CLI Application - Browse, pull, and download models from Ollama Registry in your terminal. +- [GGUF-to-Ollama](https://github.com/jonathanhecl/gguf-to-ollama) - Importing GGUF to Ollama made easy (multiplatform) +- [AWS-Strands-With-Ollama](https://github.com/rapidarchitect/ollama_strands) - AWS Strands Agents with Ollama Examples +- [ollama-multirun](https://github.com/attogram/ollama-multirun) - A bash shell script to run a single prompt against any or all of your locally installed ollama models, saving the output and performance statistics as easily navigable web pages. ([Demo](https://attogram.github.io/ai_test_zone/)) +- [ollama-bash-toolshed](https://github.com/attogram/ollama-bash-toolshed) - Bash scripts to chat with tool using models. Add new tools to your shed with ease. Runs on Ollama. +- [hle-eval-ollama](https://github.com/mags0ft/hle-eval-ollama) - Runs benchmarks like "Humanity's Last Exam" (HLE) on your favorite local Ollama models and evaluates the quality of their responses +- [VT Code](https://github.com/vinhnx/vtcode) - VT Code is a Rust-based terminal coding agent with semantic code intelligence via Tree-sitter. Ollama integration for running local/cloud models with configurable endpoints. + +### Apple Vision Pro + +- [SwiftChat](https://github.com/aws-samples/swift-chat) (Cross-platform AI chat app supporting Apple Vision Pro via "Designed for iPad") +- [Enchanted](https://github.com/AugustDev/enchanted) + +### Database + +- [pgai](https://github.com/timescale/pgai) - PostgreSQL as a vector database (Create and search embeddings from Ollama models using pgvector) + - [Get started guide](https://github.com/timescale/pgai/blob/main/docs/vectorizer-quick-start.md) +- [MindsDB](https://github.com/mindsdb/mindsdb/blob/staging/mindsdb/integrations/handlers/ollama_handler/README.md) (Connects Ollama models with nearly 200 data platforms and apps) +- [chromem-go](https://github.com/philippgille/chromem-go/blob/v0.5.0/embed_ollama.go) with [example](https://github.com/philippgille/chromem-go/tree/v0.5.0/examples/rag-wikipedia-ollama) +- [Kangaroo](https://github.com/dbkangaroo/kangaroo) (AI-powered SQL client and admin tool for popular databases) + +### Package managers - [Pacman](https://archlinux.org/packages/extra/x86_64/ollama/) -- [Homebrew](https://formulae.brew.sh/formula/ollama) -- [Nix package](https://search.nixos.org/packages?show=ollama&from=0&size=50&sort=relevance&type=packages&query=ollama) -- [Helm Chart](https://artifacthub.io/packages/helm/ollama-helm/ollama) - [Gentoo](https://github.com/gentoo/guru/tree/master/app-misc/ollama) -- [Flox](https://flox.dev/blog/ollama-part-one) +- [Homebrew](https://formulae.brew.sh/formula/ollama) +- [Helm Chart](https://artifacthub.io/packages/helm/ollama-helm/ollama) - [Guix channel](https://codeberg.org/tusharhero/ollama-guix) +- [Nix package](https://search.nixos.org/packages?show=ollama&from=0&size=50&sort=relevance&type=packages&query=ollama) +- [Flox](https://flox.dev/blog/ollama-part-one) + +### Libraries + +- [LangChain](https://python.langchain.com/docs/integrations/chat/ollama/) and [LangChain.js](https://js.langchain.com/docs/integrations/chat/ollama/) with [example](https://js.langchain.com/docs/tutorials/local_rag/) +- [Firebase Genkit](https://firebase.google.com/docs/genkit/plugins/ollama) +- [crewAI](https://github.com/crewAIInc/crewAI) +- [Yacana](https://remembersoftwares.github.io/yacana/) (User-friendly multi-agent framework for brainstorming and executing predetermined flows with built-in tool integration) +- [Strands Agents](https://github.com/strands-agents/sdk-python) (A model-driven approach to building AI agents in just a few lines of code) +- [Spring AI](https://github.com/spring-projects/spring-ai) with [reference](https://docs.spring.io/spring-ai/reference/api/chat/ollama-chat.html) and [example](https://github.com/tzolov/ollama-tools) +- [LangChainGo](https://github.com/tmc/langchaingo/) with [example](https://github.com/tmc/langchaingo/tree/main/examples/ollama-completion-example) +- [LangChain4j](https://github.com/langchain4j/langchain4j) with [example](https://github.com/langchain4j/langchain4j-examples/tree/main/ollama-examples/src/main/java) +- [LangChainRust](https://github.com/Abraxas-365/langchain-rust) with [example](https://github.com/Abraxas-365/langchain-rust/blob/main/examples/llm_ollama.rs) +- [LangChain for .NET](https://github.com/tryAGI/LangChain) with [example](https://github.com/tryAGI/LangChain/blob/main/examples/LangChain.Samples.OpenAI/Program.cs) +- [LLPhant](https://github.com/theodo-group/LLPhant?tab=readme-ov-file#ollama) +- [LlamaIndex](https://docs.llamaindex.ai/en/stable/examples/llm/ollama/) and [LlamaIndexTS](https://ts.llamaindex.ai/modules/llms/available_llms/ollama) +- [LiteLLM](https://github.com/BerriAI/litellm) +- [OllamaFarm for Go](https://github.com/presbrey/ollamafarm) +- [OllamaSharp for .NET](https://github.com/awaescher/OllamaSharp) +- [Ollama for Ruby](https://github.com/crmne/ruby_llm) +- [Ollama-rs for Rust](https://github.com/pepperoni21/ollama-rs) +- [Ollama-hpp for C++](https://github.com/jmont-dev/ollama-hpp) +- [Ollama4j for Java](https://github.com/ollama4j/ollama4j) +- [ModelFusion Typescript Library](https://modelfusion.dev/integration/model-provider/ollama) +- [OllamaKit for Swift](https://github.com/kevinhermawan/OllamaKit) +- [Ollama for Dart](https://github.com/breitburg/dart-ollama) +- [Ollama for Laravel](https://github.com/cloudstudio/ollama-laravel) +- [LangChainDart](https://github.com/davidmigloz/langchain_dart) +- [Semantic Kernel - Python](https://github.com/microsoft/semantic-kernel/tree/main/python/semantic_kernel/connectors/ai/ollama) +- [Haystack](https://github.com/deepset-ai/haystack-integrations/blob/main/integrations/ollama.md) +- [Elixir LangChain](https://github.com/brainlid/langchain) +- [Ollama for R - rollama](https://github.com/JBGruber/rollama) +- [Ollama for R - ollama-r](https://github.com/hauselin/ollama-r) +- [Ollama-ex for Elixir](https://github.com/lebrunel/ollama-ex) +- [Ollama Connector for SAP ABAP](https://github.com/b-tocs/abap_btocs_ollama) +- [Testcontainers](https://testcontainers.com/modules/ollama/) +- [Portkey](https://portkey.ai/docs/welcome/integration-guides/ollama) +- [PromptingTools.jl](https://github.com/svilupp/PromptingTools.jl) with an [example](https://svilupp.github.io/PromptingTools.jl/dev/examples/working_with_ollama) +- [LlamaScript](https://github.com/Project-Llama/llamascript) +- [llm-axe](https://github.com/emirsahin1/llm-axe) (Python Toolkit for Building LLM Powered Apps) +- [Gollm](https://docs.gollm.co/examples/ollama-example) +- [Gollama for Golang](https://github.com/jonathanhecl/gollama) +- [Ollamaclient for Golang](https://github.com/xyproto/ollamaclient) +- [High-level function abstraction in Go](https://gitlab.com/tozd/go/fun) +- [Ollama PHP](https://github.com/ArdaGnsrn/ollama-php) +- [Agents-Flex for Java](https://github.com/agents-flex/agents-flex) with [example](https://github.com/agents-flex/agents-flex/tree/main/agents-flex-llm/agents-flex-llm-ollama/src/test/java/com/agentsflex/llm/ollama) +- [Parakeet](https://github.com/parakeet-nest/parakeet) is a GoLang library, made to simplify the development of small generative AI applications with Ollama. +- [Haverscript](https://github.com/andygill/haverscript) with [examples](https://github.com/andygill/haverscript/tree/main/examples) +- [Ollama for Swift](https://github.com/mattt/ollama-swift) +- [Swollama for Swift](https://github.com/guitaripod/Swollama) with [DocC](https://guitaripod.github.io/Swollama/documentation/swollama) +- [GoLamify](https://github.com/prasad89/golamify) +- [Ollama for Haskell](https://github.com/tusharad/ollama-haskell) +- [multi-llm-ts](https://github.com/nbonamy/multi-llm-ts) (A Typescript/JavaScript library allowing access to different LLM in a unified API) +- [LlmTornado](https://github.com/lofcz/llmtornado) (C# library providing a unified interface for major FOSS & Commercial inference APIs) +- [Ollama for Zig](https://github.com/dravenk/ollama-zig) +- [Abso](https://github.com/lunary-ai/abso) (OpenAI-compatible TypeScript SDK for any LLM provider) +- [Nichey](https://github.com/goodreasonai/nichey) is a Python package for generating custom wikis for your research topic +- [Ollama for D](https://github.com/kassane/ollama-d) +- [OllamaPlusPlus](https://github.com/HardCodeDev777/OllamaPlusPlus) (Very simple C++ library for Ollama) +- [any-llm](https://github.com/mozilla-ai/any-llm) (A single interface to use different llm providers by [mozilla.ai](https://www.mozilla.ai/)) +- [any-agent](https://github.com/mozilla-ai/any-agent) (A single interface to use and evaluate different agent frameworks by [mozilla.ai](https://www.mozilla.ai/)) +- [Neuro SAN](https://github.com/cognizant-ai-lab/neuro-san-studio) (Data-driven multi-agent orchestration framework) with [example](https://github.com/cognizant-ai-lab/neuro-san-studio/blob/main/docs/user_guide.md#ollama) +- [achatbot-go](https://github.com/ai-bot-pro/achatbot-go) a multimodal(text/audio/image) chatbot. +- [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) - A Bash Library for Ollama. Run LLM prompts straight from your shell, and more + +### Mobile + +- [SwiftChat](https://github.com/aws-samples/swift-chat) (Lightning-fast Cross-platform AI chat app with native UI for Android, iOS, and iPad) +- [Enchanted](https://github.com/AugustDev/enchanted) +- [Maid](https://github.com/Mobile-Artificial-Intelligence/maid) +- [Ollama App](https://github.com/JHubi1/ollama-app) (Modern and easy-to-use multi-platform client for Ollama) +- [ConfiChat](https://github.com/1runeberg/confichat) (Lightweight, standalone, multi-platform, and privacy-focused LLM chat interface with optional encryption) +- [Ollama Android Chat](https://github.com/sunshine0523/OllamaServer) (No need for Termux, start the Ollama service with one click on an Android device) +- [Reins](https://github.com/ibrahimcetin/reins) (Easily tweak parameters, customize system prompts per chat, and enhance your AI experiments with reasoning model support.) + +### Extensions & Plugins + +- [Raycast extension](https://github.com/MassimilianoPasquini97/raycast_ollama) +- [Discollama](https://github.com/mxyng/discollama) (Discord bot inside the Ollama discord channel) +- [Continue](https://github.com/continuedev/continue) +- [Vibe](https://github.com/thewh1teagle/vibe) (Transcribe and analyze meetings with Ollama) +- [Obsidian Ollama plugin](https://github.com/hinterdupfinger/obsidian-ollama) +- [Logseq Ollama plugin](https://github.com/omagdy7/ollama-logseq) +- [NotesOllama](https://github.com/andersrex/notesollama) (Apple Notes Ollama plugin) +- [Dagger Chatbot](https://github.com/samalba/dagger-chatbot) +- [Discord AI Bot](https://github.com/mekb-turtle/discord-ai-bot) +- [Ollama Telegram Bot](https://github.com/ruecat/ollama-telegram) +- [Hass Ollama Conversation](https://github.com/ej52/hass-ollama-conversation) +- [Rivet plugin](https://github.com/abrenneke/rivet-plugin-ollama) +- [Obsidian BMO Chatbot plugin](https://github.com/longy2k/obsidian-bmo-chatbot) +- [Cliobot](https://github.com/herval/cliobot) (Telegram bot with Ollama support) +- [Copilot for Obsidian plugin](https://github.com/logancyang/obsidian-copilot) +- [Obsidian Local GPT plugin](https://github.com/pfrankov/obsidian-local-gpt) +- [Open Interpreter](https://docs.openinterpreter.com/language-model-setup/local-models/ollama) +- [Llama Coder](https://github.com/ex3ndr/llama-coder) (Copilot alternative using Ollama) +- [Ollama Copilot](https://github.com/bernardo-bruning/ollama-copilot) (Proxy that allows you to use Ollama as a copilot like GitHub Copilot) +- [twinny](https://github.com/rjmacarthy/twinny) (Copilot and Copilot chat alternative using Ollama) +- [Wingman-AI](https://github.com/RussellCanfield/wingman-ai) (Copilot code and chat alternative using Ollama and Hugging Face) +- [Page Assist](https://github.com/n4ze3m/page-assist) (Chrome Extension) +- [Plasmoid Ollama Control](https://github.com/imoize/plasmoid-ollamacontrol) (KDE Plasma extension that allows you to quickly manage/control Ollama model) +- [AI Telegram Bot](https://github.com/tusharhero/aitelegrambot) (Telegram bot using Ollama in backend) +- [AI ST Completion](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) (Sublime Text 4 AI assistant plugin with Ollama support) +- [Discord-Ollama Chat Bot](https://github.com/kevinthedang/discord-ollama) (Generalized TypeScript Discord Bot w/ Tuning Documentation) +- [ChatGPTBox: All in one browser extension](https://github.com/josStorer/chatGPTBox) with [Integrating Tutorial](https://github.com/josStorer/chatGPTBox/issues/616#issuecomment-1975186467) +- [Discord AI chat/moderation bot](https://github.com/rapmd73/Companion) Chat/moderation bot written in python. Uses Ollama to create personalities. +- [Headless Ollama](https://github.com/nischalj10/headless-ollama) (Scripts to automatically install ollama client & models on any OS for apps that depend on ollama server) +- [Terraform AWS Ollama & Open WebUI](https://github.com/xuyangbocn/terraform-aws-self-host-llm) (A Terraform module to deploy on AWS a ready-to-use Ollama service, together with its front-end Open WebUI service.) +- [node-red-contrib-ollama](https://github.com/jakubburkiewicz/node-red-contrib-ollama) +- [Local AI Helper](https://github.com/ivostoykov/localAI) (Chrome and Firefox extensions that enable interactions with the active tab and customisable API endpoints. Includes secure storage for user prompts.) +- [LSP-AI](https://github.com/SilasMarvin/lsp-ai) (Open-source language server for AI-powered functionality) +- [QodeAssist](https://github.com/Palm1r/QodeAssist) (AI-powered coding assistant plugin for Qt Creator) +- [Obsidian Quiz Generator plugin](https://github.com/ECuiDev/obsidian-quiz-generator) +- [AI Summary Helper plugin](https://github.com/philffm/ai-summary-helper) +- [TextCraft](https://github.com/suncloudsmoon/TextCraft) (Copilot in Word alternative using Ollama) +- [Alfred Ollama](https://github.com/zeitlings/alfred-ollama) (Alfred Workflow) +- [TextLLaMA](https://github.com/adarshM84/TextLLaMA) A Chrome Extension that helps you write emails, correct grammar, and translate into any language +- [Simple-Discord-AI](https://github.com/zyphixor/simple-discord-ai) +- [LLM Telegram Bot](https://github.com/innightwolfsleep/llm_telegram_bot) (telegram bot, primary for RP. Oobabooga-like buttons, [A1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui) API integration e.t.c) +- [mcp-llm](https://github.com/sammcj/mcp-llm) (MCP Server to allow LLMs to call other LLMs) +- [SimpleOllamaUnity](https://github.com/HardCodeDev777/SimpleOllamaUnity) (Unity Engine extension for communicating with Ollama in a few lines of code. Also works at runtime) +- [UnityCodeLama](https://github.com/HardCodeDev777/UnityCodeLama) (Unity Editor tool to analyze scripts via Ollama) +- [NativeMind](https://github.com/NativeMindBrowser/NativeMindExtension) (Private, on-device AI Assistant, no cloud dependencies) +- [GMAI - Gradle Managed AI](https://gmai.premex.se/) (Gradle plugin for automated Ollama lifecycle management during build phases) +- [NOMYO Router](https://github.com/nomyo-ai/nomyo-router) (A transparent Ollama proxy with model deployment aware routing which auto-manages multiple Ollama instances in a given network) + +### Supported backends + +- [llama.cpp](https://github.com/ggml-org/llama.cpp) project founded by Georgi Gerganov. + +### Observability + +- [Opik](https://www.comet.com/docs/opik/cookbook/ollama) is an open-source platform to debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. Opik supports native integration to Ollama. +- [Lunary](https://lunary.ai/docs/integrations/ollama) is the leading open-source LLM observability platform. It provides a variety of enterprise-grade features such as real-time analytics, prompt templates management, PII masking, and comprehensive agent tracing. +- [OpenLIT](https://github.com/openlit/openlit) is an OpenTelemetry-native tool for monitoring Ollama Applications & GPUs using traces and metrics. +- [HoneyHive](https://docs.honeyhive.ai/integrations/ollama) is an AI observability and evaluation platform for AI agents. Use HoneyHive to evaluate agent performance, interrogate failures, and monitor quality in production. +- [Langfuse](https://langfuse.com/docs/integrations/ollama) is an open source LLM observability platform that enables teams to collaboratively monitor, evaluate and debug AI applications. +- [MLflow Tracing](https://mlflow.org/docs/latest/llms/tracing/index.html#automatic-tracing) is an open source LLM observability tool with a convenient API to log and visualize traces, making it easy to debug and evaluate GenAI applications. + +### Security + +- [Ollama Fortress](https://github.com/ParisNeo/ollama_proxy_server)